Department of Computer Science - University of Texas at Austin1d
Texas CSB Alum Reflects on the Value of His Interdisciplinary Education
As president in my sophomore year, CSB tried to do a couple of things. One was social bonding—bringing everyone together through socials and having fun. The other part was sourcing career networking ...
www.cs.utexas.edu23h
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning
Transfer learning is a method where an agent reuses knowledge learned in a source task to improve learning on a target task. Recent work has shown that transfer learning can be extended to the idea of ...
www.cs.utexas.edu1d
Degree Plans
Degree requirements for each plan can vary greatly by catalog year. Degree requirements on older catalogs may include courses that are no longer offered, due to the change in CS curriculum. For ...
www.cs.utexas.edu3d
TAMER: Training an Agent Manually via Evaluative Reinforcement
Though computers have surpassed humans at many tasks, especially computationally intensive ones, there are many tasks for which human expertise remains necessary and/or useful. For such tasks, it is ...
www.cs.utexas.edu3d
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism. Kurt Dresner and Peter Stone. In The Third International Joint Conference on Autonomous Agents and Multiagent Systems ...
www.cs.utexas.edu3d
Transfer Learning for Reinforcement Learning Domains: A Survey
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
www.cs.utexas.edu6d
David Harwath
My research interests are in the area of machine learning for speech, language, and sound processing. I am particularly interested in multimodality and unsupervised ...
www.cs.utexas.edu6d
Overlapping Layered Learning
Patrick MacAlpine and Peter Stone.
www.cs.utexas.edu3d
Multiagent Systems: A survey from a machine learning perspective
Multiagent Systems: A survey from a machine learning perspective. Peter Stone and Manuela Veloso. Autonomous Robots, 8(3):345–383, July 2000. @Article(MASsurvey, Author="Peter Stone and Manuela Veloso ...
www.cs.utexas.edu3d
Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration
Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration. Tobias Jung and Peter Stone. @InProceedings{ECML10-jung, author = "Tobias Jung and Peter Stone", title = ...
www.cs.utexas.edu3d
Impact of Music on Decision Making in Quantitative Tasks
The goal of this study is to explore which aspects of people’s analytical decision making are affected when ex- posed to music. To this end, we apply a stochastic sequen- tial model of simple ...
www.cs.utexas.edu6d
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion. Nate Kohl and Peter Stone.